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Holo-UNet: Hologram denoising for low light digital holography

Installation

The project is written using Keras with a Tensorflow backend. Therefore, an Cuda enabled Nvidia GPU must be available. Jupyter Notebook is used for the example code, and the top block includes the list of required python 3 libraries.

Data preparation

Training and test data are created in the data_loader.py file. Data is currently not provided due to the size of the files, however interested users can request the data from the authors.

Training & Testing

For an example of the training and testing process, please see HoloUNet.ipynb.

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